Longyan Wang

1.9k total citations
81 papers, 1.5k citations indexed

About

Longyan Wang is a scholar working on Aerospace Engineering, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Longyan Wang has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Aerospace Engineering, 20 papers in Computational Mechanics and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Longyan Wang's work include Wind Energy Research and Development (34 papers), Cavitation Phenomena in Pumps (13 papers) and Wind and Air Flow Studies (13 papers). Longyan Wang is often cited by papers focused on Wind Energy Research and Development (34 papers), Cavitation Phenomena in Pumps (13 papers) and Wind and Air Flow Studies (13 papers). Longyan Wang collaborates with scholars based in China, Malaysia and Australia. Longyan Wang's co-authors include Andy Tan, Enli Liu, Yuanzhi Hong, Junyou Shi, Xue Lin, Yuantong Gu, Jianping Yuan, Michael E. Cholette, Zhaohui Luo and Xixin Duan and has published in prestigious journals such as Applied Catalysis B: Environmental, Carbon and Chemical Engineering Journal.

In The Last Decade

Longyan Wang

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Longyan Wang China 23 543 503 477 428 265 81 1.5k
Yan He China 26 428 0.8× 333 0.7× 497 1.0× 185 0.4× 147 0.6× 127 1.9k
Di Tang China 26 661 1.2× 958 1.9× 664 1.4× 254 0.6× 164 0.6× 126 2.6k
Huaxing Li China 17 392 0.7× 380 0.8× 258 0.5× 303 0.7× 201 0.8× 88 1.2k
Ali Vatani Iran 32 471 0.9× 268 0.5× 294 0.6× 469 1.1× 130 0.5× 79 2.6k
Turaj Ashuri United States 16 141 0.3× 160 0.3× 429 0.9× 600 1.4× 254 1.0× 43 1.4k
Rong Feng China 20 206 0.4× 223 0.4× 271 0.6× 361 0.8× 408 1.5× 78 1.2k
Qingsong Zuo China 26 172 0.3× 603 1.2× 406 0.9× 160 0.4× 351 1.3× 81 1.8k
Yonglin Ju China 31 343 0.6× 273 0.5× 267 0.6× 1.3k 3.1× 274 1.0× 133 2.9k
Jiping Liu China 28 393 0.7× 221 0.4× 181 0.4× 847 2.0× 454 1.7× 120 2.6k
Tong Seop Kim South Korea 27 226 0.4× 457 0.9× 409 0.9× 392 0.9× 292 1.1× 110 2.0k

Countries citing papers authored by Longyan Wang

Since Specialization
Citations

This map shows the geographic impact of Longyan Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Longyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longyan Wang more than expected).

Fields of papers citing papers by Longyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Longyan Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Longyan Wang. The network helps show where Longyan Wang may publish in the future.

Co-authorship network of co-authors of Longyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Longyan Wang. A scholar is included among the top collaborators of Longyan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Longyan Wang. Longyan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Longyan, et al.. (2025). Advanced wake modeling in wind farm: A physics-informed framework with virtual LiDAR measurements. Physics of Fluids. 37(6). 1 indexed citations
3.
Wang, Longyan, et al.. (2025). TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural networks. Physics of Fluids. 37(2). 2 indexed citations
4.
5.
Luo, Zhaohui, et al.. (2025). From sparse sensing to physics-consistent reconstruction of unsteady wind turbine wakes towards control-oriented modeling. Energy Conversion and Management. 349. 120872–120872.
6.
Wang, Longyan, et al.. (2024). DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade. Renewable Energy. 224. 120179–120179. 7 indexed citations
7.
Wang, Yurun, Yi Huang, Dongsheng Chen, et al.. (2024). Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development. IEEE Access. 12. 80633–80645. 2 indexed citations
8.
Wang, Longyan, et al.. (2024). A novel generative approach to the parametric design and multi-objective optimization of horizontal axis tidal turbines. Physics of Fluids. 36(11). 1 indexed citations
9.
Huang, Yi, Longyan Wang, Lingjian Ye, & Zeyu Yang. (2024). A Bidirectional Attention-Based LSTM Model for Multi-Step Ahead Prediction in Dynamic Soft Sensors. 1964–1969. 1 indexed citations
10.
Wang, Longyan, et al.. (2024). Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades. Energy. 296. 131216–131216. 7 indexed citations
11.
12.
Wang, Longyan, et al.. (2024). A novel generative–predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine. Physics of Fluids. 36(4). 3 indexed citations
13.
Luo, Zhaohui, et al.. (2024). Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-based machine learning approach. Renewable Energy. 237. 121552–121552. 8 indexed citations
14.
Luo, Zhaohui, et al.. (2023). Reconstruction of missing flow field from imperfect turbulent flows by machine learning. Physics of Fluids. 35(8). 14 indexed citations
15.
Chen, Meng, et al.. (2023). Super-resolution reconstruction framework of wind turbine wake: Design and application. Ocean Engineering. 288. 116099–116099. 13 indexed citations
16.
Luo, Zhaohui, et al.. (2023). A deep learning framework for reconstructing experimental missing flow field of hydrofoil. Ocean Engineering. 293. 116605–116605. 15 indexed citations
17.
Luo, Zhaohui, et al.. (2021). A new three-dimensional wake model for the real wind farm layout optimization. Energy Exploration & Exploitation. 40(2). 701–723. 4 indexed citations
18.
Wang, Panni, Yihan Chen, Suwen Li, et al.. (2017). Low Power Phase Change Memory With Vertical Carbon Nanotube Electrode. IEEE Journal of the Electron Devices Society. 5(5). 362–366. 4 indexed citations
19.
Wang, Longyan, et al.. (2014). Different approaches of applying single-objective binary genetic algorithm on the wind farm design. QUT ePrints (Queensland University of Technology). 3 indexed citations
20.
Wang, Longyan, et al.. (2003). New FCC process minimizes gasoline olefin, increases propylene. Oil & gas journal. 101(6). 52–52. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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